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La plateforme documentaire du CTIFL
La plateforme documentaire du CTIFL
     
Article

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Geometry-aware fruit grasping estimation for robotic harvesting in apple orchards

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WANG (X), KANG (H), ZHOU (H), AU (W), CHEN (C)

AU/UNIV MONASH

COMPUTERS AND ELECTRONICS IN AGRICULTURE

2022

193

Article 106716 9 p.

10.1016/j.compag.2022.106716

biblio., illus., photo., tabl., anglais

"Development of a geometry-aware network A3N for vision sensing in natural orchards. Combination of A3N and collision modeling as a framework to perceive the workspace. Implementation of a global-to-local sensing strategy to perform robotic harvesting."

https://www.sciencedirect.com/science/article/abs/pii/S0168169922000333

récolte mécanique, robotique

POMME

RECOLTE ROBOTISEE, SYSTEME DE VISION, APPRENTISSAGE PROFOND (DEEP LEARNING)

25/01/2022

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